Determination of the fault identification accuracy in LV networks using the Fuzzy method
The on-line detection of the faults in low-voltage (LV) distribution networks has become possible by the implementation of the smart meters (SM's). Due to technical and economical reasons SM's will not be installed in each household. For an efficient and accurate fault identification it is...
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Published in | 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) pp. 002756 - 002761 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2016
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Subjects | |
Online Access | Get full text |
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Summary: | The on-line detection of the faults in low-voltage (LV) distribution networks has become possible by the implementation of the smart meters (SM's). Due to technical and economical reasons SM's will not be installed in each household. For an efficient and accurate fault identification it is necessary to determine the optimal ratio of SM's in relation to the number of consumers. This is achieved by using the Fuzzy method. In this paper, the influence of the number of SM's on the accuracy of the fault identification is presented. |
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DOI: | 10.1109/SMC.2016.7844656 |